Journal of Computer Virology and Hacking Techniques

Top Research Topics at Journal of Computer Virology and Hacking Techniques?

The journal was organized to reinforce research efforts on Malware, Computer security, Artificial intelligence, Data mining and Operating system. Malware research presented in the journal encompasses a variety of subjects, including Android (operating system), Executable and Opcode. Executable study tackled is connected to the field of Theoretical computer science.

Some problems in Computer security that were presented in it overlapped with concepts under Software, World Wide Web, The Internet and Cloud computing. Journal of Computer Virology and Hacking Techniques facilitates discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning and Pattern recognition. The main emphasis of it is the subject of Machine learning, focusing on Artificial neural network.

While Data mining is the focus of it, it also provided insights into the studies of Set (abstract data type), Static analysis and Cluster analysis. It explores topics in Operating system which can be helpful for research in disciplines like Embedded system and Code (cryptography). The work tackled in the journal goes beyond the discipline of Hidden Markov model as it also encompasses Metamorphic malware.

• Malware (42.31%)
• Computer security (34.23%)
• Artificial intelligence (19.23%)

What are the most cited papers published in the journal?

• Graph-based malware detection using dynamic analysis (179 citations)
• A comparison of static, dynamic, and hybrid analysis for malware detection (153 citations)
• Malware classification based on call graph clustering (145 citations)

Research areas of the most cited articles at Journal of Computer Virology and Hacking Techniques:

The journal papers tackle a plethora of topics, such as Malware, Artificial intelligence, Executable, Computer security and Hidden Markov model. Malware research is the primary subject tackled in the published papers with a focus in Cryptovirology. The journal articles focus on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Pattern recognition.

What topics the last edition of the journal is best known for?

• Operating system
• Artificial intelligence
• The Internet

The previous edition focused in particular on these issues:

The journal focuses largely on the fields of Malware, Computer security, Artificial neural network, Machine learning and Artificial intelligence. In the journal, researchers investigate the Malware study as part of research in the field of Operating system. The studies in Computer security featured incorporate elements of Cloud data, Signature (logic), Identity (object-oriented programming) and Entropy (information theory).

Topics in Artificial neural network were tackled in line with various other fields like Support vector machine, Evasion (network security), Deep learning, Random forest and Convolutional neural network. While Fuzzy logic is the key highlight in Journal of Computer Virology and Hacking Techniques, it also covered some subjects on Data dependency and File system and Data mining. The tackled Code (cryptography) research is interrelated with Instrumentation (computer programming) which concerns subjects like Exploit.

The most cited articles from the last journal are:

• The effects of feature selection on the classification of encrypted botnet (4 citations)
• Threats of price scraping on e-commerce websites: attack model and its detection using neural network (3 citations)
• An attribute-based keyword search for m-Health networks (3 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Journal of Computer Virology and Hacking Techniques (based on the number of publications) are:

• Mark Stamp (25 papers) absent at the last edition,
• Thomas H. Austin (9 papers) absent at the last edition,
• Fabio Di Troia (8 papers) absent at the last edition,
• Eric Filiol (7 papers) published 1 paper at the last edition the same number as at the previous edition,
• Baptiste David (6 papers) published 3 papers at the last edition, 2 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Computer Virology and Hacking Techniques (based on the number of publications) are:

• San Jose State University (24 papers) absent at the last edition,
• ESIEA (15 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Baekseok University (11 papers) absent at the last edition,
• University of Sannio (8 papers) published 1 paper at the last edition,
• Shiraz University (6 papers) published 1 paper at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 25.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.23% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.85% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.77% of all publications and 46.15% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Applying Computer Virology and Hacking Techniques in Educational Settings

While this article meticulously covers the wide range of research topics that the Journal of Computer Virology and Hacking Techniques focuses on, it overlooks the applied aspect of these studies. Specifically, the practical applicability of this knowledge in various sectors, such as education, could use more emphasis. For instance, it’s crucial to interpret how these studies can critically educate school teachers in Maryland about the various computer viruses and hacking techniques they need to be aware of. Many private school teachers are given the responsibility to handle essential school databases that store sensitive information about students and staff members. Knowledge about computer virology can help them secure this data effectively against potential intruders. The requirements to become a private school teacher differ throughout the U.S. In certain states like in Maryland, a degree might not be necessary, although having a bachelor's degree in education or the subject they intend to teach in, could be beneficial. A private school teacher in Maryland might benefit immensely from a formal education that also informs about computer security, malware, and data mining tactics. This can help them not only in effectively safeguarding school databases but also in offering their students a more comprehensive learning experience. For those interested in taking up this career path, more information on the requirements can be found here where we delve into details regarding the necessary qualifications for private school teachers in Maryland. Other states may have different requirements, so prospective teachers should research the requirements specific to their location. Understanding the nuances of computer virology and hacking techniques can equip teachers with knowledge to create a safe digital environment for students. The educators of today must adapt to the evolving digital landscape, making computer virology a vital subject in the educational sector.